Results 61 to 70 of about 8,150 (174)

A destructive active defense algorithm for deepfake face images [PDF]

PeerJ Computer Science
The harm caused by deepfake face images is increasing. To proactively defend against this threat, this paper innovatively proposes a destructive active defense algorithm for deepfake face images (DADFI).
Yang Yang, Norisma Binti Idris, Chang Liu, Hui Wu, Dingguo Yu   +4 more
doaj   +2 more sources

AI washing

American Business Law Journal, Volume 63, Issue 3, Page 193-233, Fall 2026.
Abstract AI washing, the practice of misrepresenting the use or scope of artificial intelligence in goods or services to attract investors and gain competitive advantages, raises distinct regulatory challenges requiring the adaptation of traditional securities laws to novel technological contexts.
Moran Ofir
wiley   +1 more source

Ensemble-Based Biometric Verification: Defending Against Multi-Strategy Deepfake Image Generation

Computers
Deepfake images, synthetic images created using digital software, continue to present a serious threat to online platforms. This is especially relevant for biometric verification systems, as deepfakes that attempt to bypass such measures increase the ...
Hilary Zen, Rohan Wagh, Miguel Wanderley, Gustavo Bicalho, Rachel Park, Megan Sun, Rafael Palacios, Lucas Carvalho, Guilherme Rinaldo, Amar Gupta   +9 more
doaj   +1 more source

Deepfake y desinformación –¿Qué puede hacer el derecho frente a las noticias falsas creadas por deepfake?

IDP
Este artículo explora la relación entre deepfake y fake news a través de la lente del derecho. Se divide en tres partes conceptuales principales: en primer lugar, se examina la base teórica, a continuación, se explora la relación entre desinformación y ...
Gergely Ferenc Lendvai, Gergely Gosztonyi   +1 more
doaj   +1 more source

AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks

Applied Sciences
The development of artificial intelligence has inevitably led to the growth of deepfake images, videos, human voices, etc. Deepfake detection is mandatory, especially when used for unethical and illegal purposes.
Cosmina-Mihaela Rosca, Adrian Stancu
doaj   +1 more source

What You See Is Not What You Know: Studying Deception in Deepfake Video Manipulation

Journal of Cybersecurity Education, Research & Practice, 2023
Research indicates that deceitful videos tend to spread rapidly online and influence people’s opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat.
Cathryn Allen, Bryson R. Payne, Chuck Robertson, Tamirat Abegaz   +3 more
doaj  

Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

IEEE Access
In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia. Though technology has primarily been utilized for beneficial purposes,
Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi   +5 more
doaj   +1 more source

Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis

Journal on Interactive Systems
Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence.
Yan Martins Braz Gurevitz Cunha, Bruno Rocha Gomes, José Matheus C. Boaro, Daniel de Sousa Moraes, Antonio José Grandson Busson, Julio Cesar Duarte, Sérgio Colcher   +6 more
doaj   +1 more source

STOPA: A Dataset of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution

STOPA is a dataset for source tracing and attribution of deepfake audio, identifying which synthesis system generated a given utterance. It includes over 700,000 synthetic speech samples, generated using 13 distinct systems with controlled variation ...
Firc, Anton,Brno University of Technology, Chibber, Manasi,University of Eastern Finland, Kinnunen, Tomi,, Malinka, Kamil,Brno University of Technology, Mishra, Jagabandhu,, Singh, Vishwanath Pratap,University of Eastern Finland   +5 more
core   +1 more source

Artificial rabbits optimization with transfer learning based deepfake detection model for biometric applications

Ain Shams Engineering Journal
Deepfake detection is a significant area of research in biometric applications, as it is essential to ensure the integrity and authenticity of biometric information.
Sana Alazwari, Marwa Obayya Jamal Alsamri, Mohammad Alamgeer, Rana Alabdan, Ibrahim Alzahrani, Mohammed Rizwanullah, Azza Elneil Osman   +6 more
doaj   +1 more source